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DevSecOps & LLMOps Engineer

Jakarta Job No. r00249236 Full-time - On-Site

Job Description

We are seeking a highly skilled DevSecOps and/or LLMOps Engineer to join our innovative team. In this role, you will be responsible for building, deploying, and managing our AI and machine learning infrastructure. You will work closely with data scientists, machine learning engineers, and other stakeholders to ensure the smooth operation of our AI systems.

Key Responsibilities:

  • Infrastructure Automation: Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or CloudFormation.
  • CI/CD Pipelines: Design, implement, and maintain robust CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
  • DevSecOps Practices: Implement security best practices throughout the development lifecycle, including vulnerability scanning, penetration testing, and secure coding standards.
  • LLM Operations: Manage the deployment, scaling, and monitoring of large language models.
  • MLOps: Implement MLOps practices to automate model training, deployment, and monitoring.
  • Cloud Infrastructure: Manage and optimize cloud infrastructure (AWS, Azure, GCP) to support AI workloads.
  • Monitoring and Alerting: Set up monitoring and alerting systems to proactively identify and resolve issues.

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You will also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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Qualifications

Requirements:

  • Strong understanding of cloud infrastructure (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Proficiency in scripting languages (Python, Bash) and configuration management tools (Ansible, Puppet, Chef).
  • Experience with CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
  • Knowledge of security best practices and vulnerability scanning tools.
  • Understanding of machine learning frameworks (TensorFlow, PyTorch) and MLOps tools.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Experience with serverless computing and function-as-a-service platforms (AWS Lambda, Azure Functions, Google Cloud Functions).
  • Knowledge of infrastructure as code (IaC) principles.
  • Experience with AI governance and compliance frameworks.

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